Volt-IQ Team Task A, B, and C, at LLMs4OL-2026

[kebamt]

Team Name: Volt-IQ Team

Challenge Variants: LLMs4OL 2026 Task A (Flagship), Task B (Reuse), and Task C (Taxonomy)

Submission Type: Option 2 - Script-Based Submission

Submission ZIP: volt-iq-llms4ol-2026-system-submission.zip

GitHub Repository: https://github.com/kebamt/llms4ol-challenge

Methodology: https://github.com/kebamt/llms4ol-challenge/blob/main/methodology.md

The flat project includes main.py, dedicated entry points for all three variants, requirements.txt, execution documentation in README.md, and critical component tests in unittest.py.

[kebamt]

This Issue was created on:

• UTC: July 27, 2026, 11:59:58
• AoE (UTC-12): July 26, 2026, 23:59:58

Before deadline.

[HamedBabaei]

Dear @kebamt , thanks for the submission. I will mark your submission as completed. We will use this submission to do the integration.

[HamedBabaei]

System Integration Submission Checklist

Team Name: Volt-IQ
Challenge Variant: LLMs4OL-2026 Flagship, Reuse, and Taxonomy
Submission Type: Script

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General Requirements

• Team name and challenge variant are included in the issue (or PR) title.
• The submission is complete and executable.
• Unit tests are included for the core system components.
• A methodological diagram is included.
• A link to the project GitHub repository is included.

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Script-Based Submission

Project Structure

• All source files are placed in the project root (no nested directories).
• main.py is provided as the primary entry point.
• Additional entry files (main1.py, main2.py, etc.) are provided if multiple variants exist.
• requirements.txt is included.
• README.md is included.
• unittest.py is included.

Documentation

• README explains how to run the system.
• README briefly describes the purpose of each script.
• README documents multiple entry points (if applicable).

Unit Testing

• unittest.py covers the critical modules.

Submission

• Project is packaged as a ZIP archive.

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Additional Information

• Methodological Diagram: https://github.com/kebamt/llms4ol-challenge/blob/main/methodology.md
• Project Repository: https://github.com/kebamt/llms4ol-challenge/tree/main
• Additional Notes:

This comment will be updated based on integration progress and checking the submissions. This will be on the OntoLearner Team, and there will be no need for the authors to do so. Unless you (as a co-author) want to add more information or want to be involved in the integration process.